---
product_id: 270134758
title: "SOM System-On-Modules - SOM Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe"
brand: "google coral"
price: "£68.35"
currency: GBP
in_stock: true
reviews_count: 5
category: "Google Coral"
url: https://www.desertcart.co.uk/products/270134758-som-system-on-modules-som-edge-tpu-ml-compute-accelerator
store_origin: GB
region: United Kingdom
---

# 4 TOPS inferencing speed 2 TOPS per watt power efficiency Mini PCIe plug & play integration SOM System-On-Modules - SOM Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe

**Brand:** google coral
**Price:** £68.35
**Availability:** ✅ In Stock

## Summary

> 🚀 Supercharge your legacy systems with cutting-edge AI power!

## Quick Answers

- **What is this?** SOM System-On-Modules - SOM Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe by google coral
- **How much does it cost?** £68.35 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.co.uk](https://www.desertcart.co.uk/products/270134758-som-system-on-modules-som-edge-tpu-ml-compute-accelerator)

## Best For

- google coral enthusiasts

## Why This Product

- Trusted google coral brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Custom AI at the Edge:** Build and deploy high-accuracy models with AutoML Vision Edge for tailored solutions 🎯
- • **TensorFlow Lite Ready:** Run pre-built models effortlessly—no need to reinvent the wheel 🤖
- • **Power-Savvy Performance:** Achieves 2 TOPS per watt, maximizing efficiency without compromise 🔋
- • **Blazing Fast ML Inferencing:** Delivers 4 trillion operations per second for real-time AI insights ⚡
- • **Seamless Debian Linux Compatibility:** Plug into any Debian-based system and start accelerating instantly 🐧

## Overview

The SOM Google Edge TPU ML Compute Accelerator is a compact, energy-efficient module that integrates via Mini PCIe into Debian-based Linux systems, delivering ultra-fast machine learning inferencing at 4 TOPS with exceptional power efficiency. It supports TensorFlow Lite and AutoML Vision Edge, enabling seamless deployment of custom AI models on edge devices.

## Description

Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. See more performance benchmarks. Works with Debian Linux Integrates with any Debian-based Linux system with a compatible card module slot. Supports TensorFlow Lite No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. Supports AutoML Vision Edge Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.

Review: This works great on an old Intel NUC that I use to run Frigate NVR.
Review: I eventually got it working but it cost me a small fortune buying several expensive ($80+) adaptors and in the end only one PCIe adaptor would work in a Lenovo machine I have. Nothing would work in any of the Dell computers I have. The drivers don't work with new Linux distributions. I expected so much better from Google. Google isn't what they used to be, only in it for the money now. Sad.

## Features

- 64-bit version of Debian 10 or Ubuntu 16.04 (or newer)
- x86-64 or ARMv8 system architecture
- 64-bit version of Windows 10
- x86-64 system architecture

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0844WRL58 |
| Best Sellers Rank | #120,777 in Computers ( See Top 100 in Computers ) #79 in Barebone PCs |
| Brand | Google Coral |
| Built-In Media | SOM Google Edge TPU ML Compute Accelerator board |
| CPU Model | ARMv7 |
| Compatible Devices | Debian-based Linux systems |
| Connectivity Technology | Mini PCIe |
| Customer Reviews | 4.4 4.4 out of 5 stars (21) |
| Item Dimensions L x W x H | 27W millimeters |
| Manufacturer | Google Coral |
| Memory Storage Capacity | 8 GB |
| Mfr Part Number | G650-04528-01 |
| Model Name | SOM Google Edge TPU ML Compute Accelerator |
| Model Number | G650-04528-01 |
| Operating System | Linux |
| Processor Brand | ARM |
| Processor Count | 1 |
| RAM Memory Technology | DDR4 |
| UPC | 608614202775 |
| Wireless Compability | Bluetooth |

## Product Details

- **Brand:** Google Coral
- **CPU model:** ARMv7
- **Connectivity technology:** Mini PCIe
- **Memory storage capacity:** 8 GB
- **Model name:** SOM Google Edge TPU ML Compute Accelerator

## Images

![SOM System-On-Modules - SOM Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe - Image 1](https://m.media-amazon.com/images/I/51ggonhJIbL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Review
*by B***. on 23 January 2025*

This works great on an old Intel NUC that I use to run Frigate NVR.

### ⭐ Review
*by G***D on 22 January 2024*

I eventually got it working but it cost me a small fortune buying several expensive ($80+) adaptors and in the end only one PCIe adaptor would work in a Lenovo machine I have. Nothing would work in any of the Dell computers I have. The drivers don't work with new Linux distributions. I expected so much better from Google. Google isn't what they used to be, only in it for the money now. Sad.

### ⭐⭐⭐⭐ Review
*by H***G on 8 August 2025*

Works, not very reliable. You will have issues with drivers.

## Frequently Bought Together

- SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe
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*Product available on Desertcart United Kingdom*
*Store origin: GB*
*Last updated: 2026-05-16*